Effects of the driving context on the usage of Automated Driver Assistance Systems (ADAS) -Naturalistic Driving Study for ADAS evaluation (original) (raw)
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Methodologies to assess usability and safety of ADAS and automated vehicle
IFAC-PapersOnLine, 2016
In the framework of future innovation and for the sake of road safety, there is a great hope in fully supporting, or even replacing, the human driver by reliable technology. But, due to the novelty of this context, an important care will have to be devoted to investigate drivers' expectation, needs, behavior and functional abilities to reach this goal. In this context, this paper reviews several human factors issues related to partial and fully automated vehicles, with discussion of strengths and weaknesses of methods investigating driver automation acceptability, trust, situation awareness and workload. Main results of these parameters in relation to automated driving are presented and relevant methodologies to investigate these human variables are discussed in the perspective of real road experiments context.
Editorial: Knowledge Needs on the Implementation of Automated Driver Assistance Systems
2001
Recently, considerable technological progress has been made in the field of Automated Driver Assistance Systems (ADAS). Electronic devices inform or support the driver in accident-prone driving situations, in order to improve the critical task of driving a motor vehicle. Potentially, ADAS offers important advantages for road transportation: increased control with respect to the speed and the position of vehicles on the road is important for establishing homogeneous traffic flows and reducing the number of accidents. As such ADAS is assumed to have a positive impact on the use of road infrastructure and traffic safety (Boussuge & Valade, 1994). Moreover, this could lead to a reduction of energy use and polluting gas emissions (Barth, 1995; Michaelian & Browand, 2000). As soon as parts of or the whole driving task are supported and/or executed automatically by ADAS, vehicle driving could become more comfortable and more convenient as compared to today's manual driving (Stevens, 1997; Hoedemaeker, 1999). These expectations imply a high potential in individual and societal advantages. In various countries, therefore, transport policy makers are increasingly interested in the automation of vehicle driving tasks. However, current policy development regarding ADAS is highly complicated by, among others, much uncertainty on future ADAS development and implementation in terms of whether ADAS implementation will contribute to or conflict with transport policy goals, and the basic societal conditions required for ADAS implementation (Marchau, 2000). Until now, the development of ADAS has been strongly technology driven and the performance and impacts of most ADAS prototypes has only been assessed in experiments under strictly controlled conditions, implying limited ecological validity (Marchau & Van
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2017
As the first phase of a larger project, drivers were recruited to drive for a month one of two different vehicles with a range of advanced driver assistance systems (ADAS). Training methods for introducing the systems and questionnaire and structured interview methods were tested for collecting driver perceptions and understanding of the technologies. Participant perceptions and selected observations are detailed.
ArXiv, 2019
Advanced driver assistance systems (ADAS) technologies in vehicles (e.g. park assist, lane change assist, emergency braking, etc.), which take over parts of the driving task of human drivers, are advancing at a disruptive pace and hold the potential to deliver many benefits to society. However, public understanding of ADAS systems, and driver training and licensing for using them, are lagging behind the fast-paced technological development, which could raise safety issues or slow the deployment of ADAS, thus offsetting their potential benefits. There is, therefore, a need to investigate issues related to public perception of ADAS in order to develop appropriate policies and governance structures which support innovation, and result in the smooth deployment and acceptance of appropriate ADAS for society. In this work we perform a quantitative public survey to better understand how the public's awareness and knowledge of ADAS technologies in their vehicles correlate to their use o...
Interaction with and use of driver assistance systems: A study of end-user experiences
2011
The paper explores drivers', i.e. end-users', self-reported interaction with and experiences of using five different advanced driver assistance systems (ADAS): adaptive cruise control, blind spot monitor, forward collision warning, lane departure warning, and driver state warning. Main themes investigated in three focus group interviews were (i) usage of system, (ii) functional limitations and trust, and (iii) driving behaviour and traffic safety. Findings imply negative experiences due to functional limitations (mainly associated with weather conditions) but also positive experiences (accidents avoided), changes in driving behaviour (e.g. a more relaxed driving style, increased use of directional indicators), as well as effects on traffic safety (e.g. longer distance to vehicles ahead and accident avoidance). Thus, collecting information on end-users' experiences of ADAS, in real traffic and over time, contributes to our overall understanding of the effects of ADAS and, in addition, provides valuable input to the further development and deployment of the systems.
Behavioural impacts of Advanced Driver Assistance Systems-an overview
2001
The purpose of Advanced Driver Assistance Systems (ADAS) is that driver error will be reduced or even eliminated, and efficiency in traffic and transport is enhanced. The benefits of ADAS implementations are potentially considerable because of a significant decrease in human suffering, economical cost and pollution. However, there are also potential problems to be expected, since the task of driving a ordinary motor vehicle is changing in nature, in the direction of supervising a (partly) automated moving vehicle.